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<div class="title">cudaMappedMemory.h</div>  </div>
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<a href="cudaMappedMemory_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017, NVIDIA CORPORATION. All rights reserved.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * copy of this software and associated documentation files (the &quot;Software&quot;),</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * to deal in the Software without restriction, including without limitation</span></div>
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<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * Software is furnished to do so, subject to the following conditions:</span></div>
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<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160; </div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="preprocessor">#ifndef __CUDA_MAPPED_MEMORY_H_</span></div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#define __CUDA_MAPPED_MEMORY_H_</span></div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160; </div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160; </div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="cudaUtility_8h.html">cudaUtility.h</a>&quot;</span></div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="imageFormat_8h.html">imageFormat.h</a>&quot;</span></div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="logging_8h.html">logging.h</a>&quot;</span></div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160; </div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160; </div>
<div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="group__cudaMemory.html#ga08121b272362dcd6f06d71a5a660c1e9">   44</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="group__cudaMemory.html#ga08121b272362dcd6f06d71a5a660c1e9">cudaAllocMapped</a>( <span class="keywordtype">void</span>** cpuPtr, <span class="keywordtype">void</span>** gpuPtr, <span class="keywordtype">size_t</span> size )</div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;{</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;        <span class="keywordflow">if</span>( !cpuPtr || !gpuPtr || size == 0 )</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;                <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160; </div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;        <span class="comment">//CUDA(cudaSetDeviceFlags(cudaDeviceMapHost));</span></div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160; </div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;        <span class="keywordflow">if</span>( <a class="code" href="group__cudaError.html#gad12b27627f04dd0ecf3eb9e2468a846e">CUDA_FAILED</a>(cudaHostAlloc(cpuPtr, size, cudaHostAllocMapped)) )</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;                <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160; </div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;        <span class="keywordflow">if</span>( <a class="code" href="group__cudaError.html#gad12b27627f04dd0ecf3eb9e2468a846e">CUDA_FAILED</a>(cudaHostGetDevicePointer(gpuPtr, *cpuPtr, 0)) )</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;                <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160; </div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;        memset(*cpuPtr, 0, size);</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;        <a class="code" href="group__log.html#ga210ef343f0bc7d17a786ea6ea882f2d9">LogDebug</a>(<a class="code" href="group__cudaError.html#gae6c4176aa6f8270000ec2b626a2a8b3c">LOG_CUDA</a> <span class="stringliteral">&quot;cudaAllocMapped %zu bytes, CPU %p GPU %p\n&quot;</span>, size, *cpuPtr, *gpuPtr);</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;}</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160; </div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160; </div>
<div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="group__cudaMemory.html#gaebaf526c95c617fba65d29943b88333d">   75</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="group__cudaMemory.html#ga08121b272362dcd6f06d71a5a660c1e9">cudaAllocMapped</a>( <span class="keywordtype">void</span>** ptr, <span class="keywordtype">size_t</span> size )</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;{</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;        <span class="keywordtype">void</span>* cpuPtr = NULL;</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;        <span class="keywordtype">void</span>* gpuPtr = NULL;</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160; </div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;        <span class="keywordflow">if</span>( !ptr || size == 0 )</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;                <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160; </div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;        <span class="keywordflow">if</span>( !<a class="code" href="group__cudaMemory.html#ga08121b272362dcd6f06d71a5a660c1e9">cudaAllocMapped</a>(&amp;cpuPtr, &amp;gpuPtr, size) )</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;                <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160; </div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;        <span class="keywordflow">if</span>( cpuPtr != gpuPtr )</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;        {</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;                <a class="code" href="group__log.html#ga0f3919667d0ac0b001e44edb569d22fe">LogError</a>(<a class="code" href="group__cudaError.html#gae6c4176aa6f8270000ec2b626a2a8b3c">LOG_CUDA</a> <span class="stringliteral">&quot;cudaAllocMapped() - addresses of CPU and GPU pointers don&#39;t match\n&quot;</span>);</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;                <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;        }</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160; </div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;        *ptr = gpuPtr;</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;}</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160; </div>
<div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="group__cudaMemory.html#gaa52f87e1fd1acb41b7fecd08e698d652">  111</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="group__cudaMemory.html#ga08121b272362dcd6f06d71a5a660c1e9">cudaAllocMapped</a>( <span class="keywordtype">void</span>** ptr, <span class="keywordtype">size_t</span> width, <span class="keywordtype">size_t</span> height, <a class="code" href="group__imageFormat.html#ga931c48e08f361637d093355d64583406">imageFormat</a> format )</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;{</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="group__cudaMemory.html#ga08121b272362dcd6f06d71a5a660c1e9">cudaAllocMapped</a>(ptr, <a class="code" href="group__imageFormat.html#gae8779cdbde4c4543a26a736ef7222fae">imageFormatSize</a>(format, width, height));</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;}</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160; </div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160; </div>
<div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="group__cudaMemory.html#ga8a2888fa56181613241c517a156351d9">  131</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="group__cudaMemory.html#ga08121b272362dcd6f06d71a5a660c1e9">cudaAllocMapped</a>( <span class="keywordtype">void</span>** ptr, <span class="keyword">const</span> int2&amp; dims, <a class="code" href="group__imageFormat.html#ga931c48e08f361637d093355d64583406">imageFormat</a> format )</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;{</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="group__cudaMemory.html#ga08121b272362dcd6f06d71a5a660c1e9">cudaAllocMapped</a>(ptr, <a class="code" href="group__imageFormat.html#gae8779cdbde4c4543a26a736ef7222fae">imageFormatSize</a>(format, dims.x, dims.y));</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;}</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160; </div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160; </div>
<div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="group__cudaMemory.html#gaab0dab07a3448b93f7022ce304a47a8b">  151</a></span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> T&gt; <span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="group__cudaMemory.html#ga08121b272362dcd6f06d71a5a660c1e9">cudaAllocMapped</a>( T** ptr, <span class="keywordtype">size_t</span> width, <span class="keywordtype">size_t</span> height )</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;{</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="group__cudaMemory.html#ga08121b272362dcd6f06d71a5a660c1e9">cudaAllocMapped</a>((<span class="keywordtype">void</span>**)ptr, width * height * <span class="keyword">sizeof</span>(T));</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;}</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160; </div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160; </div>
<div class="line"><a name="l00170"></a><span class="lineno"><a class="line" href="group__cudaMemory.html#gae2c4c5bb3fe6978716bb275b8f863eee">  170</a></span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> T&gt; <span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="group__cudaMemory.html#ga08121b272362dcd6f06d71a5a660c1e9">cudaAllocMapped</a>( T** ptr, <span class="keyword">const</span> int2&amp; dims )</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;{</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="group__cudaMemory.html#ga08121b272362dcd6f06d71a5a660c1e9">cudaAllocMapped</a>((<span class="keywordtype">void</span>**)ptr, dims.x * dims.y * <span class="keyword">sizeof</span>(T));</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;}</div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160; </div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160; </div>
<div class="line"><a name="l00189"></a><span class="lineno"><a class="line" href="group__cudaMemory.html#gaba68c46bcb6c28ed20b8bb38faaf58c0">  189</a></span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> T&gt; <span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="group__cudaMemory.html#ga08121b272362dcd6f06d71a5a660c1e9">cudaAllocMapped</a>( T** ptr, <span class="keywordtype">size_t</span> size )</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;{</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="group__cudaMemory.html#ga08121b272362dcd6f06d71a5a660c1e9">cudaAllocMapped</a>((<span class="keywordtype">void</span>**)ptr, size);</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;}</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160; </div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;<span class="preprocessor">#endif</span></div>
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<div class="ttc" id="acudaUtility_8h_html"><div class="ttname"><a href="cudaUtility_8h.html">cudaUtility.h</a></div></div>
<div class="ttc" id="agroup__cudaError_html_gae6c4176aa6f8270000ec2b626a2a8b3c"><div class="ttname"><a href="group__cudaError.html#gae6c4176aa6f8270000ec2b626a2a8b3c">LOG_CUDA</a></div><div class="ttdeci">#define LOG_CUDA</div><div class="ttdoc">LOG_CUDA string.</div><div class="ttdef"><b>Definition:</b> cudaUtility.h:65</div></div>
<div class="ttc" id="agroup__imageFormat_html_gae8779cdbde4c4543a26a736ef7222fae"><div class="ttname"><a href="group__imageFormat.html#gae8779cdbde4c4543a26a736ef7222fae">imageFormatSize</a></div><div class="ttdeci">size_t imageFormatSize(imageFormat format, size_t width, size_t height)</div><div class="ttdoc">Compute the size of an image (in bytes)</div></div>
<div class="ttc" id="agroup__cudaMemory_html_ga08121b272362dcd6f06d71a5a660c1e9"><div class="ttname"><a href="group__cudaMemory.html#ga08121b272362dcd6f06d71a5a660c1e9">cudaAllocMapped</a></div><div class="ttdeci">bool cudaAllocMapped(void **cpuPtr, void **gpuPtr, size_t size)</div><div class="ttdoc">Allocate ZeroCopy mapped memory, shared between CUDA and CPU.</div><div class="ttdef"><b>Definition:</b> cudaMappedMemory.h:44</div></div>
<div class="ttc" id="alogging_8h_html"><div class="ttname"><a href="logging_8h.html">logging.h</a></div></div>
<div class="ttc" id="agroup__log_html_ga0f3919667d0ac0b001e44edb569d22fe"><div class="ttname"><a href="group__log.html#ga0f3919667d0ac0b001e44edb569d22fe">LogError</a></div><div class="ttdeci">#define LogError(format, args...)</div><div class="ttdoc">Log a printf-style error message (Log::ERROR)</div><div class="ttdef"><b>Definition:</b> logging.h:150</div></div>
<div class="ttc" id="agroup__log_html_ga210ef343f0bc7d17a786ea6ea882f2d9"><div class="ttname"><a href="group__log.html#ga210ef343f0bc7d17a786ea6ea882f2d9">LogDebug</a></div><div class="ttdeci">#define LogDebug(format, args...)</div><div class="ttdoc">Log a printf-style debug message (Log::DEBUG)</div><div class="ttdef"><b>Definition:</b> logging.h:180</div></div>
<div class="ttc" id="agroup__cudaError_html_gad12b27627f04dd0ecf3eb9e2468a846e"><div class="ttname"><a href="group__cudaError.html#gad12b27627f04dd0ecf3eb9e2468a846e">CUDA_FAILED</a></div><div class="ttdeci">#define CUDA_FAILED(x)</div><div class="ttdoc">Evaluates to true on failure.</div><div class="ttdef"><b>Definition:</b> cudaUtility.h:53</div></div>
<div class="ttc" id="aimageFormat_8h_html"><div class="ttname"><a href="imageFormat_8h.html">imageFormat.h</a></div></div>
<div class="ttc" id="agroup__imageFormat_html_ga931c48e08f361637d093355d64583406"><div class="ttname"><a href="group__imageFormat.html#ga931c48e08f361637d093355d64583406">imageFormat</a></div><div class="ttdeci">imageFormat</div><div class="ttdoc">The imageFormat enum is used to identify the pixel format and colorspace of an image.</div><div class="ttdef"><b>Definition:</b> imageFormat.h:49</div></div>
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